Periodontitis is a prevalent inflammatory disease that can result in tooth loss if left untreated. Clinical evaluation and x-rays are currently used to diagnose and monitor the progression of the disease, but intraoral photos can provide additional information. We propose an automatic framework for patients' self-monitoring using a smartphone camera to calculate periodontal metrics such as teeth and gums length ratios. We tested the framework on a small sample size to evaluate its robustness and efficiency. Results are presented and discussed.

Periodontisis Evaluation through Automatic Teeth Detection and Segmentation from self-collected Smartphone Images

Polsinelli M.
2023-01-01

Abstract

Periodontitis is a prevalent inflammatory disease that can result in tooth loss if left untreated. Clinical evaluation and x-rays are currently used to diagnose and monitor the progression of the disease, but intraoral photos can provide additional information. We propose an automatic framework for patients' self-monitoring using a smartphone camera to calculate periodontal metrics such as teeth and gums length ratios. We tested the framework on a small sample size to evaluate its robustness and efficiency. Results are presented and discussed.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4896536
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact